一种智能图像检测的方法

介绍了一种用VB实现智能图像检测的方法,通过VB与智能图像传感器的接口技术,用VB调用智能图像传感器的检测数据,使智能图像传感器的检测结果在简捷实用的VB界面中显示,实现了特定工业现场环境下对工件进行实时智能图像检测。     

运动目标检测的差分图像法分析研究

针对应用于运动目标检测上的差分图像法本身内在特性引起的空洞、拖影、拉长等若干缺陷问题进行了研究.沿着从差分静态背景、差分自适应的更新背景,到帧间差分,三帧差分的脉络,分析了这些方法中空洞、拖影、拉长等现象之间的联系与演变,提出了有关解决或者改进措施,并进行了相关的实验验证.     

基于机器视觉的平板式数粒机检测方法

以现代药品包装为应用背景,以新型平板式数粒机为研究平台,以机器视觉技术为研究重点,提出了一种基于机器视觉的平板式数粒机的检测方法。该检测方法可用于药品颗粒的缺陷检测和计数算法的研究。实验结果表明,基于机器视觉的平板式数粒机检测方法可达到用户的要求,实现高速度、高效率、高精度的在线检测计数。     

介绍一种车床刀具磨损视觉检测装置

对于现代机床而言,刀具的磨损状态监测显得日益重要。在此设计并制作出了一种新颖的在机视觉检测装置,不仅可以实现视觉系统与机床的结合,而且具有良好的隔振性能。实验结果表明,采用这种机构,可以使摄像机拍摄到比较清晰的图像,为实现车刀磨损在机检测提供了条件。     

An autonomous low-Cost infrared system for the on-line monitoring of manufacturing processes using novelty detection

This paper describes the implementation of a process monitoring system using a low-cost autonomous infrared imager combined with a novelty detection algorithm. The infrared imager is used to monitor the health of several manufacturing processes namely: drilling, grinding, welding and soldering. The main aim is to evaluate the use of low-cost infrared sensor technology combined with novelty detection to distinguish between normal and faulty conditions of manufacturing processes. The ultimate aim is to improve the reliability of the manufacturing operations so as to ensure high part quality and reduce inspection costs. The paper describes several case studies, which have shown that the new low-cost technology could provide an inexpensive and autonomous methodology for monitoring manufacturing processes. Novelty detection is used to compare normal and faulty conditions in order to provide an automated system for fault detection.